Yasuhiro Matsuoka
- Reproductive Medicine top 2%
- Sperm and Testicular Function 16
- Urology top 5%
- Urinary Bladder and Prostate Research 4
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- Hormonal and reproductive studies 8
- Psychiatry and Mental health top 10%
- Sexual function and dysfunction studies 5
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- Reproductive Biology and Fertility 11
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- Heat shock proteins research 6
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- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 5
- Animal Genetics and Reproduction 5
- Co-authors
- Akira TsujimuraÄkïhïko OkuyamaYasushi MiyagawaTetsuya TakaoNorio NonomuraKiyomi MatsumiyaShingo TakadaHiromitsu Tanaka
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yasuhiro Matsuoka
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 110
- Reproductive Medicine 342
- Urology 84
- Endocrinology, Diabetes and Metabolism 165
- Psychiatry and Mental health 144
- Public Health, Environmental and Occupational Health 269
Countries citing papers authored by Yasuhiro Matsuoka
This map shows the geographic impact of Yasuhiro Matsuoka's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yasuhiro Matsuoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuhiro Matsuoka more than expected).
Fields of papers citing papers by Yasuhiro Matsuoka
This network shows the impact of papers produced by Yasuhiro Matsuoka. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yasuhiro Matsuoka. The network helps show where Yasuhiro Matsuoka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasuhiro Matsuoka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 12 | |
| 2 | 2014 | 11 | |
| 3 | 2013 | 0 | |
| 4 | 2011 | 9 | |
| 5 | 2010 | 12 | |
| 6 | 2009 | 111 | |
| 7 | 2008 | 4 | |
| 8 | 2008 | 23 | |
| 9 | 2008 | 18 | |
| 10 | 2008 | 14 | |
| 11 | 2007 | 16 | |
| 12 | 2007 | 46 | |
| 13 | 2005 | 3 | |
| 14 | 2005 | 4 | |
| 15 | 2004 | 55 | |
| 16 | 2004 | 16 | |
| 17 | 2003 | 40 | |
| 18 | 1999 | 27 | |
| 19 | 1998 | 2 | |
| 20 | 1994 | 4 |
About Yasuhiro Matsuoka
Yasuhiro Matsuoka is a scholar working on Reproductive Medicine, Urology and Endocrinology, Diabetes and Metabolism, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sperm and Testicular Function (16 papers), Reproductive Biology and Fertility (11 papers), Hormonal and reproductive studies (8 papers), Heat shock proteins research (6 papers), Sexual function and dysfunction studies (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Animal Genetics and Reproduction (5 papers) and Urinary Bladder and Prostate Research (4 papers). The work is most often cited by research in Reproductive Medicine (342 citations), Urology (84 citations) and Endocrinology, Diabetes and Metabolism (165 citations). Yasuhiro Matsuoka has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Akira Tsujimura, Äkïhïko Okuyama, Yasushi Miyagawa, Tetsuya Takao, Norio Nonomura, Kiyomi Matsumiya, Shingo Takada, Hiromitsu Tanaka, Yoshitake Nishimune and Sajni Josson. Their work appears in journals such as PLoS ONE, NeuroImage and Molecular and Cellular Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.